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A generalized Nadaraya–Watson estimator for observations obtained from a mixture 混合物观测值的广义Nadaraya–Watson估计
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-08-04 DOI: 10.1090/tpms/1098
H. M. Dychko, R. Maiboroda
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引用次数: 1
Exact variations for stochastic heat equations with piecewise constant coefficients and application to parameter estimation 分段常系数随机热方程的精确变分及其在参数估计中的应用
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-08-04 DOI: 10.1090/tpms/1099
M. Zili, Eya Zougar
We expand the quartic variations in time and the quadratic variations in space of the solution to a stochastic partial differential equation with piecewise constant coefficients. Both expansions allow us to deduce an estimation method of the parameters appearing in the equation.
我们扩展了具有分段常系数的随机偏微分方程解的时间上的四次变化和空间上的二次变化。这两种展开式都允许我们推导出方程中出现的参数的估计方法。
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引用次数: 7
The asymptotic normality for the least squares estimator of parameters in a two dimensional sinusoidal model of observations 二维正弦观测模型参数最小二乘估计的渐近正态性
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-08-04 DOI: 10.1090/tpms/1100
O. Ivanov, O. Lymar
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引用次数: 4
Noninformative Bayesian inference for heterogeneity in a generalized marginal random effects meta-analysis 广义边际随机效应荟萃分析中异质性的非信息贝叶斯推断
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-08-04 DOI: 10.1090/TPMS/1095
Olha Bodnar
In this paper an objective Bayesian inference is proposed for the heterogeneity parameter in a generalized marginal random effects model. Models of this kind are widely used in meta-analysis and in ...
本文对广义边际随机效应模型中的异质性参数提出了一种客观的贝叶斯推理方法。这类模型广泛应用于荟萃分析和。。。
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引用次数: 3
The wave equation in the three-dimensional space driven by a general stochastic measure 一般随机测度驱动的三维波动方程
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-08-04 DOI: 10.1090/tpms/1097
I. Bodnarchuk, V. Radchenko
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引用次数: 3
Editorial 编辑
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-08-04 DOI: 10.1090/tpms/1094
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引用次数: 0
The dual Yamada–Watanabe theorem for mild solutions to stochastic partial differential equations 随机偏微分方程温和解的对偶Yamada-Watanabe定理
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-06-22 DOI: 10.1090/tpms/1155
Stefan Tappe
We provide the dual result of the Yamada–Watanabe theorem for mild solutions to semilinear stochastic partial differential equations with path-dependent coefficients. An essential tool is the so-called “method of the moving frame”, which allows us to reduce the proof to infinite dimensional stochastic differential equations.
我们给出了具有路径相关系数的半线性随机偏微分方程的温和解的Yamada–Watanabe定理的对偶结果。一个重要的工具是所谓的“移动框架方法”,它使我们能够将证明简化为无穷维随机微分方程。
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引用次数: 3
Ehrenfest–Brillouin-type correlated continuous time random walk and fractional Jacobi diffusion ehrenfest - brillouin型相关连续时间随机漫步和分数阶Jacobi扩散
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-02-27 DOI: 10.1090/TPMS/1086
N. Leonenko, I. Papic, A. Sikorskii, N. Šuvak
Continuous time random walks (CTRWs) have random waiting times between particle jumps. Based on Ehrenfest-Brillouin-type model motivated by economics, we define the correlated CTRW that converge to the fractional Jacobi diffusion Y (E(t)), t ≥ 0, defined as a time change of Jacobi diffusion process Y (t) to the inverse E(t) of the standard stable subordinator. In the CTRW considered in this paper, the jumps are correlated so that in the limit the outer process Y (t) is not a L´evy process but a diffusion process with non-independent increments. The waiting times between jumps are selected from the domain of attraction of a stable law, so that the correlated CTRWs with these waiting times converge to Y (E(t)).
连续时间随机漫步(ctrw)在粒子跳跃之间具有随机等待时间。基于经济学驱动的ehrenfest - brillouin型模型,我们定义了收敛于分数阶Jacobi扩散Y (E(t)), t≥0的相关CTRW,定义为Jacobi扩散过程Y (t)到标准稳定次级系统逆E(t)的时间变化。在本文考虑的CTRW中,跳跃是相关的,因此在极限情况下,外部过程Y (t)不是一个L ' evy过程,而是一个具有非独立增量的扩散过程。在一个稳定定律的吸引域中选择跳跃之间的等待时间,使与这些等待时间相关的ctrw收敛于Y (E(t))。
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引用次数: 1
Editorial 社论
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-02-27 DOI: 10.1090/tpms/1093
Patricia L. Mokhtarian, Kay W. Axhausen
After the much too premature loss, earlier this year, of our greatly loved and admired colleague and co-editor of this journal, Prof. Ryuichi Kitamura, it was clear for the two of us that we would help to realize this tribute chosen by the editors—chosen to celebrate and honor his life and contribution to his field of study, but also and in particular his work for this journal. Ryuichi had been editor of Transportation since 1990, after earlier guestediting a special issue on ‘‘Activity-based Travel Analysis: a Retrospective Evaluation and Some Recent Contributions’’ with the late Eric Pas and Frank Koppelman. Since then he assisted and supported a large number of authors in publishing their papers to the standards of the journal, and with this helped to define the style of Transportation and to build its reputation. While his some 280 publications have appeared in many journals, it could be said that Transportation was his ‘‘home journal’’. It is therefore entirely fitting that this special issue will be devoted to reprising work from Ryuichi’s own hand—excellent research that originally appeared in reports or in conference proceedings, and thus may not have achieved the visibility it deserves. Because of our criteria that the work (1) should not have been published in the readily accessible peer-reviewed literature and (2) should not have been largely superseded by later developments, these selections do not pretend to constitute a fully representative cross-section of Ryuichi’s contributions. Nevertheless, they do offer a broad view of the variety of topics he addressed and the methodological approaches he brought to his research. They were chosen in part because we believe them still to be of current interest. Specifically, the six papers we selected address most of the key themes which engaged Ryuichi’s scientific curiosity and scholarship: the need for a dynamic, activity-based approach to analyzing travel behavior, the importance of values/attitudes, humans’ need to travel for its own sake (including seeing the automobile as an end in itself, as well as a
今年早些时候,我们深爱和钦佩的同事、本杂志的联合编辑北村龙一教授过早去世,我们两人很清楚,我们将帮助实现编辑们选择的这一致敬——选择这一致敬是为了庆祝和表彰他的一生和对其研究领域的贡献,尤其是他为本杂志所做的工作。Ryuichi自1990年以来一直担任《交通》杂志的编辑,此前他曾与已故的Eric Pas和Frank Koppelman一起为《基于活动的旅行分析:回顾性评估和一些近期贡献》的特刊撰稿。从那时起,他协助并支持了大量作者按照杂志的标准发表论文,从而帮助定义了《运输》的风格并建立了其声誉。虽然他的280多篇出版物出现在许多期刊上,但可以说《交通》是他的“家乡期刊”。因此,本期特刊将专门报道Ryuichi自己的工作,这是完全合适的——最初出现在报告或会议记录中的优秀研究,因此可能没有达到应有的知名度。由于我们的标准是,作品(1)不应发表在容易获得的同行评审文献中,(2)不应在很大程度上被后来的发展所取代,这些选择并没有假装构成Ryuichi贡献的完全代表性横截面。尽管如此,它们确实对他所涉及的各种主题以及他为研究带来的方法论方法提供了广泛的视角。他们之所以被选中,部分原因是我们相信他们仍然是当前感兴趣的。具体而言,我们选择的六篇论文涉及了Ryuichi的科学好奇心和学术研究的大部分关键主题:需要一种动态的、基于活动的方法来分析旅行行为,价值观/态度的重要性,人类为了自己的利益而旅行的需要(包括将汽车本身视为目的,以及
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引用次数: 0
Minimax estimators of parameters of a regression model 回归模型参数的极大极小估计量
IF 0.9 Q4 STATISTICS & PROBABILITY Pub Date : 2020-02-27 DOI: 10.1090/tpms/1082
A. Ivanov, I. Matsak
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引用次数: 1
期刊
Theory of Probability and Mathematical Statistics
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